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Mohamed ShirefMS
Open to opportunities

Mohamed Shiref

@mohamedshiref

Full-stack BI developer specializing in Power BI, data modelling, and automation.

Egypt
Message

What I'm looking for

I seek BI/analytics roles where I can design scalable data warehouses, build automated reporting, and reduce costs while mentoring peers and standardizing analytics practices.

I am a Full-stack BI Developer with 3+ years delivering end-to-end analytics platforms for enterprise clients, including KPMG, Signal AI, and Naos Cosmetics. I specialize in star-schema warehouse design, Power BI (DAX, RLS, Embedded), SQL optimization, and reporting automation, and I consistently drive measurable impact such as 70% report size reduction and 13% Azure cost savings.

My hands-on experience includes designing medallion data warehouses, building reusable Power BI financial templates adopted as organizational standards, creating Airbyte connectors and Power Automate workflows, and consolidating fragmented reporting architectures to improve performance and reduce maintenance efforts.

Experience

Work history, roles, and key accomplishments

NG
Current

Power BI Consultant

NowVertical Group

Jan 2024 - Present (2 years 2 months)

Designed a medallion data warehouse and reusable Power BI financial templates, enabling automated multi-region reporting and reducing implementation time by 80%; delivered Azure cost dashboards contributing to a 13% monthly spend reduction.

NG

Junior BI Consultant

NowVertical Group

Dec 2022 - Dec 2023 (1 year)

Consolidated 20+ regional Power BI dashboards into a single RLS-based model reducing maintenance by 95% and cut deployment time from days to hours; optimized large datasets via DAX refactoring and dimensional modeling.

Education

Degrees, certifications, and relevant coursework

Pharos University in Alexandria logoPA

Pharos University in Alexandria

Bachelor of Science, Mechanical Engineering

2017 - 2022

Completed a Bachelor of Science in Mechanical Engineering with coursework and projects completed between 2017 and 2022.

Tech stack

Software and tools used professionally

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